We would like to have a query language that can easily express and answer the following:
- How many individuals received pharmaceutical A before B?
(How many IBD patients were treated with steroids before biologics?)
- How many individuals experienced B within x days after A?
- How many hip patients were readmitted to hospital within 30 days after surgery?
These can be made more complex:
- (A and B) before (C or D)
We may also add qualifiers:
- How many patients always get an X within 100 days of receiving Y?
(Do the patients always receive a checkup within 100 days)
- How many patients always get at X within 100 days of receiving Y at least 50% of the time?
(Do the patients always receive a checkup within 100 days)
- How many patients receive every pharmaceutical A within 100 days from pharmaceutical B
- How many individuals received at least five events with pharmaceutical A before receiving at least two events with pharmaceutical B?
One interesting source:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC61469/
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Difference in days between two date columns: Dividing by np.timedelta64(1, 'D') is way faster than dt.days
Subtracting a data column from another yields a timedelta column with a very fine grained resolution. If all you need is the difference in d...
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We would like to have a query language that can easily express and answer the following: - How many individuals received pharmaceutical A ...
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Subtracting a data column from another yields a timedelta column with a very fine grained resolution. If all you need is the difference in d...
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